到目前为止,我已设法使我的程序工作并检测到脸部,现在我想要做的是提取检测到的区域并显示在我已添加的新图片框中,此后我想添加图片到数据库并比较检测到的面孔。 所以请帮忙
private void ProcessFrame(object sender, EventArgs arg)
{
Image<Bgr, Byte> frame = _capture.QueryFrame();
Image<Gray, Byte> gray = frame.Convert<Gray, Byte>(); //Convert it to Grayscale
//normalizes brightness and increases contrast of the image
gray._EqualizeHist();
//Read the HaarCascade objects
HaarCascade face = new HaarCascade("haarcascade_frontalface_alt_tree.xml");
HaarCascade eye = new HaarCascade("haarcascade_eye.xml");
//Detect the faces from the gray scale image and store the locations as rectangle
//The first dimensional is the channel
//The second dimension is the index of the rectangle in the specific channel
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(
face,
1.1,
10,
Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_ROUGH_SEARCH,
new Size(20, 20));
foreach (MCvAvgComp f in facesDetected[0])
{
//draw the face detected in the 0th (gray) channel with blue color
frame.Draw(f.rect, new Bgr(Color.Blue), 2);
/*
//Set the region of interest on the faces
gray.ROI = f.rect;
MCvAvgComp[][] eyesDetected = gray.DetectHaarCascade(
eye,
1.1,
10,
Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_ROUGH_SEARCH,
new Size(20, 20));
gray.ROI = Rectangle.Empty;
foreach (MCvAvgComp e in eyesDetected[0])
{
Rectangle eyeRect = e.rect;
eyeRect.Offset(f.rect.X, f.rect.Y);
frame.Draw(eyeRect, new Bgr(Color.Red), 2);
}*/
}
pictureBox1.Image = frame.ToBitmap();Application.DoEvents();
}
private void button1_Click(object sender, EventArgs e)
{
#region if capture is not created, create it now
if (_capture == null)
{
try
{
_capture = new Capture();
}
catch (NullReferenceException excpt)
{
MessageBox.Show(excpt.Message);
}
}
#endregion
if (_capture != null)
{
if (_captureInProgress)
{ //stop the capture
button1.Text = "Start Capture";
Application.Idle -= ProcessFrame;
}
else
{
//start the capture
button1.Text = "Stop";
Application.Idle += ProcessFrame;
}
_captureInProgress = !_captureInProgress;
}
}
答案 0 :(得分:5)
我已设法做到这一点,但如果他们遇到同样的麻烦,我会把这个答案用来帮助别人
gray.ROI = f.rect;
然后您可以将灰色指定给任何只显示检测区域的图片框